2018 mHealth Technology Showcase - Call for Applications

Mobile health (mHealth) provides unprecedented opportunities to measure dynamic changes in health state and the key physical, biological, behavioral, social, and environmental factors that contribute to health and disease risk. In the last decade, a significant number of mHealth technologies have been developed and applied to advance health research. They include wearable and mobile sensors for data collection; discovery and validation of novel mHealth biomarkers; software platforms for large-scale participant enrollment and data collection; big data software for data analysis, visualization, and discovery, and mobile apps for self-monitoring and intervention.

The mHealth Technology Showcase will bring together technology developers, health researchers, and federal program staff on the National Institutes of Health (NIH) campus in Bethesda, Maryland.

The goal for the meeting is to discuss how the community can work together to improve the specificity, reliability, and validity of health indicators extracted from data collected from wearable and mobile sensors, in the context of rapidly evolving and increasingly complex and diverse technologies. It will be held 8:30 a.m.-4:30 p.m. June 4 in the Natcher Auditorium, with a grant-writing workshop from 4:30 p.m. to 6 p.m.

Registration and attendance for the showcase is free, but space is limited. Applications are being accepted for those who want to present their research or demonstrate their technology. Applications will be selected based on the strength of the data presented that supports the specificity, reliability and validity of the technologies used for the health application identified. The application deadline for speakers, poster presentations and technology demonstrations is April 1, 2018, and applicants will be notified by April 20.

mHealthHUB is a service of the Center of Excellence for Mobile Sensor Data-to-Knowledge (MD2K). MD2K , headquartered at the University of Memphis, is supported by the National Institutes of Health Big Data to Knowledge (BD2K) Initiative Grant #1U54EB020404